Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

This guide provides more information on the potential implications of a new algorithm called Q* (Qstar) developed by OpenAI, which may represent a significant advancement in artificial intelligence ...

The opening years of the twenty-first century have been remarkable ones for the mathematical sciences. Major breakthroughs have been made on fundamental research problems. The ongoing trend for the ...

In a world saturated with algorithmic trading tools and off-the-shelf AI hype, Sókn Engineering is charting a radically different approach. At the center of this shift is Lagertha, a proprietary, ...

In this interview, mathematical siblings Gregory and David Chudnovsky, who seem to almost think with one mind, banter about numbers theory, advanced computing, and the importance and aesthetics of ...

The PSLQ procedure can be regarded as a jazzed-up version of an integer-relation algorithm dating back more than 2,000 years to the Greek geometer Euclid of Alexandria (365–300 B.C.). The Euclidean ...

In addition to ascertaining that the internal vitality of the mathematical sciences is excellent, as illustrated in Chapter 2, the current study found a striking expansion in the impact of the ...